library(data.table)

library(sandwich)
library(lmtest)

library(AER) 
library(dplyr)


library(ggplot2) 
library(patchwork)
#Read in the data
d <- fread('joined_results_2nd_run.tsv')


head(d)
names(d)
 [1] "V1"                      "id"                      "question"                "sexual_orientation"      "age"                     "marital_status"          "demographic_race"        "gender"                  "ethnicity"               "residency_type"          "education"               "RE_job"                 
[13] "ownership"               "treatment"               "property_chosen"         "abs_value_diff"          "value_diff"              "p_id"                    "Index"                   "question_treatment"      "question_control"        "population_density"      "walk_score"              "median_household_income"
[25] "median_age"              "nb_race"                 "median_rooms_rounded"    "bedrooms"                "bathrooms"               "sq_ft"                   "year_built"              "housing_density"         "median_male_age"         "pct_white"               "school_districts"        "pct_lt_hs_grad"         
[37] "median_rooms"            "pct_hs_grad"             "pct_at_least_col_grad"   "GEOID"                   "state"                   "tract"                   "NAME"                    "ALAND"                   "ALAND_SQMI"              "county"                  "Pair_ID"                 "INTPTLAT"               
[49] "INTPTLONG"               "iframe"                  "Racial majority detail" 
#Filter to where user input property == potential response Property
d_filtered = d
d_filtered
#For every row, create a column that is the value difference of white to non white
#i.e. If race==white of response, abs_value_diff, else use -abs_value_diff

#Using data.table fifelse
d_filtered[abs_value_diff==0,abs_value_diff := 0.5]
d_filtered[ , white_value_diff := fifelse(nb_race=="white", abs_value_diff, -abs_value_diff)]

d_filtered[ ,log_abs_diff := log(abs_value_diff)]
d_filtered[, log_white_diff := fifelse(nb_race=="white", log_abs_diff, -log_abs_diff)]


#Create a column with 0/1 if neighborhood is white
d_filtered[ , nb_is_white := fifelse(nb_race=="white", 1, 0)]
#Create a variable for whether street view contained a person

d_filtered[ , street_view_person := rep(0, .N)]

#Change Property 1 & 3s to 1
d_filtered[ (property_chosen == "Property 1") & (question == "3s") , street_view_person := 1] 

#Change both Properties of 10s to 1
d_filtered[  (question == "10s") , street_view_person := 1] 

#Change property 2 of 11s to 1
d_filtered[  (property_chosen == "Property 2") &(question == "11s") , street_view_person := 1] 

#Change property 1 of 13s to 1
d_filtered[  (property_chosen == "Property 1") &(question == "13s") , street_view_person := 1] 

#Change property 2 of 14s to 1
d_filtered[  (property_chosen == "Property 2") &(question == "14s") , street_view_person := 1] 

#Change property 1&2 of 18s to 1
d_filtered[  (question == "18s") , street_view_person := 1] 

#Change property 1 of 20s to 1
d_filtered[  (property_chosen == "Property 1") &(question == "20s") , street_view_person := 1] 

#Change property 1 of 25s to 1
d_filtered[  (property_chosen == "Property 1") &(question == "25s") , street_view_person := 1] 


d_filtered
ggplot(data =d_filtered[ treatment==0, ], aes(d_filtered[ treatment==0, white_value_diff])) + geom_histogram()

ggplot(data =d_filtered[ treatment==1, ], aes(d_filtered[ treatment==1, white_value_diff])) + geom_histogram()

fwrite(d_filtered, "filtered_data_2.csv")
df = data.table::fread("filtered_data_2.csv")
df
names(df)
 [1] "V1"                      "id"                      "question"                "sexual_orientation"      "age"                     "marital_status"          "demographic_race"        "gender"                  "ethnicity"               "residency_type"          "education"               "RE_job"                 
[13] "ownership"               "treatment"               "property_chosen"         "abs_value_diff"          "value_diff"              "p_id"                    "Index"                   "question_treatment"      "question_control"        "population_density"      "walk_score"              "median_household_income"
[25] "median_age"              "nb_race"                 "median_rooms_rounded"    "bedrooms"                "bathrooms"               "sq_ft"                   "year_built"              "housing_density"         "median_male_age"         "pct_white"               "school_districts"        "pct_lt_hs_grad"         
[37] "median_rooms"            "pct_hs_grad"             "pct_at_least_col_grad"   "GEOID"                   "state"                   "tract"                   "NAME"                    "ALAND"                   "ALAND_SQMI"              "county"                  "Pair_ID"                 "INTPTLAT"               
[49] "INTPTLONG"               "iframe"                  "Racial majority detail"  "white_value_diff"        "log_abs_diff"            "log_white_diff"          "nb_is_white"             "street_view_person"     
typeof(df)
[1] "list"
#Some attempts at writing a model


#For each question, we want the difference in counts of properties selected by is_white
new_df = df[ , .(count=.N), keyby=.(question, nb_is_white, treatment) ]
new_df


#We want to predict the difference of the counts of the is_white or not properties for each question
new_df[ , is_white_count:= diff(count, lag=1), keyby = .(question, treatment)]
new_df

model = new_df[ , lm(is_white_count ~ treatment)]

coeftest(model,  vcov = vcovCL(model, cluster = new_df[ , question]))

t test of coefficients:

            Estimate Std. Error t value Pr(>|t|)
(Intercept)   2.0000     5.6427  0.3544   0.7248
treatment     8.5455     8.7030  0.9819   0.3318

Proportion Models

prop_white_model = df[, lm(nb_is_white ~ treatment + as.factor(id))]
coeftest(prop_white_model,  vcov = vcovCL(prop_white_model, cluster = df[ , as.factor(id)]))

t test of coefficients:

                    Estimate  Std. Error     t value Pr(>|t|)    
(Intercept)       6.3636e-01  3.4670e-15  1.8355e+14  < 2e-16 ***
treatment        -1.8182e-01  1.7877e-14 -1.0171e+13  < 2e-16 ***
as.factor(id)73   1.8182e-01  1.7537e-14  1.0368e+13  < 2e-16 ***
as.factor(id)74   9.0909e-02  1.9288e-14  4.7133e+12  < 2e-16 ***
as.factor(id)77  -3.7013e-15  3.5724e-15 -1.0361e+00  0.30042    
as.factor(id)78  -2.0553e-14  1.7908e-14 -1.1477e+00  0.25137    
as.factor(id)79   2.2932e-15  3.5353e-15  6.4870e-01  0.51670    
as.factor(id)80  -9.0909e-02  3.4749e-15 -2.6162e+13  < 2e-16 ***
as.factor(id)81   1.8182e-01  1.8440e-14  9.8598e+12  < 2e-16 ***
as.factor(id)82   2.7273e-01  1.7565e-14  1.5527e+13  < 2e-16 ***
as.factor(id)83   9.0909e-02  3.4827e-15  2.6103e+13  < 2e-16 ***
as.factor(id)84  -1.8182e-01  3.4687e-15 -5.2417e+13  < 2e-16 ***
as.factor(id)85  -5.3879e-15  3.4917e-15 -1.5430e+00  0.12315    
as.factor(id)86  -9.0909e-02  3.4717e-15 -2.6185e+13  < 2e-16 ***
as.factor(id)87   9.0909e-02  1.7992e-14  5.0527e+12  < 2e-16 ***
as.factor(id)88   1.8182e-01  1.7552e-14  1.0359e+13  < 2e-16 ***
as.factor(id)89   1.8182e-01  1.7552e-14  1.0359e+13  < 2e-16 ***
as.factor(id)90   1.8182e-01  3.4785e-15  5.2270e+13  < 2e-16 ***
as.factor(id)91   9.0909e-02  3.4670e-15  2.6221e+13  < 2e-16 ***
as.factor(id)92   2.7273e-01  1.7817e-14  1.5307e+13  < 2e-16 ***
as.factor(id)93   9.0909e-02  3.4817e-15  2.6111e+13  < 2e-16 ***
as.factor(id)94   2.7273e-01  1.7538e-14  1.5551e+13  < 2e-16 ***
as.factor(id)95  -2.7273e-01  3.6024e-15 -7.5706e+13  < 2e-16 ***
as.factor(id)96   9.0909e-02  3.4735e-15  2.6172e+13  < 2e-16 ***
as.factor(id)97   2.7273e-01  1.7548e-14  1.5541e+13  < 2e-16 ***
as.factor(id)98  -7.1342e-15  3.4690e-15 -2.0566e+00  0.03999 *  
as.factor(id)99   9.0909e-02  1.7585e-14  5.1697e+12  < 2e-16 ***
as.factor(id)100 -9.0909e-02  3.4858e-15 -2.6080e+13  < 2e-16 ***
as.factor(id)101 -1.8182e-01  3.4694e-15 -5.2407e+13  < 2e-16 ***
as.factor(id)102  9.0909e-02  1.7604e-14  5.1641e+12  < 2e-16 ***
as.factor(id)103 -9.0909e-02  1.7538e-14 -5.1834e+12  < 2e-16 ***
as.factor(id)104 -1.8182e-01  3.4712e-15 -5.2379e+13  < 2e-16 ***
as.factor(id)105 -2.7273e-01  3.4683e-15 -7.8633e+13  < 2e-16 ***
as.factor(id)106  2.7273e-01  1.7839e-14  1.5289e+13  < 2e-16 ***
as.factor(id)107 -3.1819e-15  3.4673e-15 -9.1770e-01  0.35901    
as.factor(id)108 -1.9819e-14  1.7628e-14 -1.1243e+00  0.26117    
as.factor(id)109 -1.5312e-14  1.7576e-14 -8.7120e-01  0.38387    
as.factor(id)110  1.8182e-01  1.7547e-14  1.0362e+13  < 2e-16 ***
as.factor(id)111 -9.0909e-02  3.4729e-15 -2.6177e+13  < 2e-16 ***
as.factor(id)112  2.7273e-01  1.7539e-14  1.5549e+13  < 2e-16 ***
as.factor(id)113 -5.4545e-01  3.5088e-15 -1.5545e+14  < 2e-16 ***
as.factor(id)114  9.0909e-02  3.5109e-15  2.5894e+13  < 2e-16 ***
as.factor(id)115 -9.0909e-02  3.4798e-15 -2.6125e+13  < 2e-16 ***
as.factor(id)116 -9.0909e-02  1.7656e-14 -5.1490e+12  < 2e-16 ***
as.factor(id)117 -3.6364e-01  3.5060e-15 -1.0372e+14  < 2e-16 ***
as.factor(id)118  2.7273e-01  1.7537e-14  1.5551e+13  < 2e-16 ***
as.factor(id)119 -3.6364e-01  3.4674e-15 -1.0487e+14  < 2e-16 ***
as.factor(id)120  2.7273e-01  1.7543e-14  1.5546e+13  < 2e-16 ***
as.factor(id)121  3.6364e-01  1.7626e-14  2.0630e+13  < 2e-16 ***
as.factor(id)122 -1.9711e-14  1.7537e-14 -1.1240e+00  0.26131    
as.factor(id)123  9.0909e-02  3.4712e-15  2.6190e+13  < 2e-16 ***
as.factor(id)124 -9.0909e-02  1.7720e-14 -5.1302e+12  < 2e-16 ***
as.factor(id)125 -9.0909e-02  3.4807e-15 -2.6118e+13  < 2e-16 ***
as.factor(id)126  2.7273e-01  1.7572e-14  1.5521e+13  < 2e-16 ***
as.factor(id)127  4.5455e-01  1.7745e-14  2.5615e+13  < 2e-16 ***
as.factor(id)128  1.8182e-01  1.7555e-14  1.0357e+13  < 2e-16 ***
as.factor(id)129 -3.5892e-15  3.4683e-15 -1.0348e+00  0.30100    
as.factor(id)130  3.6364e-01  1.7545e-14  2.0725e+13  < 2e-16 ***
as.factor(id)131 -9.0909e-02  3.4674e-15 -2.6218e+13  < 2e-16 ***
as.factor(id)132  9.0909e-02  1.7575e-14  5.1727e+12  < 2e-16 ***
as.factor(id)133 -1.8182e-01  3.4672e-15 -5.2440e+13  < 2e-16 ***
as.factor(id)134 -2.7430e-15  3.4674e-15 -7.9110e-01  0.42909    
as.factor(id)135  1.8182e-01  1.7538e-14  1.0367e+13  < 2e-16 ***
as.factor(id)136 -1.8182e-01  3.4789e-15 -5.2263e+13  < 2e-16 ***
as.factor(id)137  9.0909e-02  1.7585e-14  5.1697e+12  < 2e-16 ***
as.factor(id)138 -3.6364e-01  3.4694e-15 -1.0481e+14  < 2e-16 ***
as.factor(id)139 -2.7273e-01  3.4673e-15 -7.8657e+13  < 2e-16 ***
as.factor(id)140 -1.5949e-14  1.7538e-14 -9.0940e-01  0.36336    
as.factor(id)141 -2.7273e-01  3.4702e-15 -7.8591e+13  < 2e-16 ***
as.factor(id)142  1.8182e-01  1.7637e-14  1.0309e+13  < 2e-16 ***
as.factor(id)143 -9.0909e-02  3.4682e-15 -2.6212e+13  < 2e-16 ***
as.factor(id)144 -2.7273e-01  3.4723e-15 -7.8544e+13  < 2e-16 ***
as.factor(id)145  1.8182e-01  1.7628e-14  1.0314e+13  < 2e-16 ***
as.factor(id)146  1.8182e-01  1.7544e-14  1.0364e+13  < 2e-16 ***
as.factor(id)147 -3.6364e-01  3.4687e-15 -1.0483e+14  < 2e-16 ***
as.factor(id)148 -2.7273e-01  3.5215e-15 -7.7447e+13  < 2e-16 ***
as.factor(id)149  2.7273e-01  1.7546e-14  1.5544e+13  < 2e-16 ***
as.factor(id)150  1.8182e-01  1.7583e-14  1.0341e+13  < 2e-16 ***
as.factor(id)151 -4.3398e-15  3.4673e-15 -1.2516e+00  0.21100    
as.factor(id)152 -2.7273e-01  3.4702e-15 -7.8591e+13  < 2e-16 ***
as.factor(id)153 -2.1136e-14  1.7541e-14 -1.2050e+00  0.22851    
as.factor(id)154 -1.8182e-01  3.4681e-15 -5.2426e+13  < 2e-16 ***
as.factor(id)155  2.7273e-01  1.7673e-14  1.5431e+13  < 2e-16 ***
as.factor(id)156 -1.8182e-01  3.4672e-15 -5.2440e+13  < 2e-16 ***
as.factor(id)157  3.6364e-01  1.7539e-14  2.0733e+13  < 2e-16 ***
as.factor(id)158 -1.8394e-14  1.7571e-14 -1.0469e+00  0.29541    
as.factor(id)159 -1.8182e-01  3.4764e-15 -5.2301e+13  < 2e-16 ***
as.factor(id)162 -3.3595e-15  3.4717e-15 -9.6770e-01  0.33345    
as.factor(id)163  1.8182e-01  1.7542e-14  1.0365e+13  < 2e-16 ***
as.factor(id)164  1.8182e-01  1.7633e-14  1.0311e+13  < 2e-16 ***
as.factor(id)165  9.0909e-02  3.4707e-15  2.6193e+13  < 2e-16 ***
as.factor(id)166 -9.0909e-02  3.4677e-15 -2.6216e+13  < 2e-16 ***
as.factor(id)167 -9.0909e-02  1.7591e-14 -5.1680e+12  < 2e-16 ***
as.factor(id)168  1.8182e-01  1.7571e-14  1.0347e+13  < 2e-16 ***
as.factor(id)169 -1.8182e-01  3.4764e-15 -5.2301e+13  < 2e-16 ***
as.factor(id)171  9.0909e-02  3.4756e-15  2.6156e+13  < 2e-16 ***
as.factor(id)172  1.8182e-01  1.7572e-14  1.0347e+13  < 2e-16 ***
as.factor(id)174 -3.6364e-01  3.4764e-15 -1.0460e+14  < 2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
stargazer::stargazer(prop_white_model, header = T, type='html', se = list(NULL,sqrt(diag(vcovCL(prop_white_model, cluster = df[ , as.factor(id)])))),out='prop_white_model_table.html')
length of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changed

<table style="text-align:center"><tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"></td><td><em>Dependent variable:</em></td></tr>
<tr><td></td><td colspan="1" style="border-bottom: 1px solid black"></td></tr>
<tr><td style="text-align:left"></td><td>nb_is_white</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">treatment</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)73</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)74</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)77</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)78</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)79</td><td>0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)80</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)81</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)82</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)83</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)84</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)85</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)86</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)87</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)88</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)89</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)90</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)91</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)92</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)93</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)94</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)95</td><td>-0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)96</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)97</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)98</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)99</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)100</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)101</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)102</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)103</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)104</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)105</td><td>-0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)106</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)107</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)108</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)109</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)110</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)111</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)112</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)113</td><td>-0.545<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)114</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)115</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)116</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)117</td><td>-0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)118</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)119</td><td>-0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)120</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)121</td><td>0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)122</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)123</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)124</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)125</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)126</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)127</td><td>0.455<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)128</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)129</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)130</td><td>0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)131</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)132</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)133</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)134</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)135</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)136</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)137</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)138</td><td>-0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)139</td><td>-0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)140</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)141</td><td>-0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)142</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)143</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)144</td><td>-0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)145</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)146</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)147</td><td>-0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)148</td><td>-0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)149</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)150</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)151</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)152</td><td>-0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)153</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)154</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)155</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)156</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)157</td><td>0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)158</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)159</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)162</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)163</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)164</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)165</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)166</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)167</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)168</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)169</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)171</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)172</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)173</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)174</td><td>-0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">Constant</td><td>0.636<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.149)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">Observations</td><td>1,078</td></tr>
<tr><td style="text-align:left">R<sup>2</sup></td><td>0.096</td></tr>
<tr><td style="text-align:left">Adjusted R<sup>2</sup></td><td>0.007</td></tr>
<tr><td style="text-align:left">Residual Std. Error</td><td>0.494 (df = 980)</td></tr>
<tr><td style="text-align:left">F Statistic</td><td>1.073 (df = 97; 980)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"><em>Note:</em></td><td style="text-align:right"><sup>*</sup>p<0.1; <sup>**</sup>p<0.05; <sup>***</sup>p<0.01</td></tr>
</table>
prop_white_model_no_id = df[, lm(nb_is_white ~ treatment)]
coeftest(prop_white_model_no_id,  vcov = vcovCL(prop_white_model_no_id))

t test of coefficients:

            Estimate Std. Error t value  Pr(>|t|)    
(Intercept) 0.520000   0.021323 24.3870 < 2.2e-16 ***
treatment   0.089848   0.030102  2.9848  0.002902 ** 
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
stargazer::stargazer(prop_white_model_no_id, header = T, type='html', se = list(NULL,sqrt(diag(vcovCL(prop_white_model_no_id, cluster = df[ , as.factor(id)])))),out='prop_white_model_no_id_table.html')
length of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changed

<table style="text-align:center"><tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"></td><td><em>Dependent variable:</em></td></tr>
<tr><td></td><td colspan="1" style="border-bottom: 1px solid black"></td></tr>
<tr><td style="text-align:left"></td><td>nb_is_white</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">treatment</td><td>0.090<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.030)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">Constant</td><td>0.520<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.021)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">Observations</td><td>1,078</td></tr>
<tr><td style="text-align:left">R<sup>2</sup></td><td>0.008</td></tr>
<tr><td style="text-align:left">Adjusted R<sup>2</sup></td><td>0.007</td></tr>
<tr><td style="text-align:left">Residual Std. Error</td><td>0.494 (df = 1076)</td></tr>
<tr><td style="text-align:left">F Statistic</td><td>8.900<sup>***</sup> (df = 1; 1076)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"><em>Note:</em></td><td style="text-align:right"><sup>*</sup>p<0.1; <sup>**</sup>p<0.05; <sup>***</sup>p<0.01</td></tr>
</table>

Value Difference models

value_model = df[, lm(white_value_diff ~ treatment + as.factor(id))]
coeftest(value_model,  vcov = vcovCL(value_model, cluster = df[ , as.factor(id)]))
stargazer::stargazer(value_model, header = T, type='html', se = list(NULL,sqrt(diag(vcovCL(value_model, cluster = df[ , as.factor(id)])))),out='value_model_table.html')
value_model_log = df[, lm(log(white_value_diff) ~ treatment + as.factor(id))]
NaNs produced
coeftest(value_model_log,  vcov = vcovCL(value_model_log, cluster = df[ , as.factor(id)]))

t test of coefficients:

                    Estimate  Std. Error     t value  Pr(>|t|)    
(Intercept)       9.5653e+00  3.4088e-15  2.8060e+15 < 2.2e-16 ***
treatment        -7.2625e-01  8.4044e-15 -8.6413e+13 < 2.2e-16 ***
as.factor(id)73   1.5932e+00  7.6820e-15  2.0739e+14 < 2.2e-16 ***
as.factor(id)74   1.7861e+00  7.6822e-15  2.3249e+14 < 2.2e-16 ***
as.factor(id)77   3.8908e-01  3.4099e-15  1.1410e+14 < 2.2e-16 ***
as.factor(id)78   8.9996e-01  7.6935e-15  1.1698e+14 < 2.2e-16 ***
as.factor(id)79   3.0771e-01  3.4117e-15  9.0194e+13 < 2.2e-16 ***
as.factor(id)80  -4.0974e-01  3.4089e-15 -1.2020e+14 < 2.2e-16 ***
as.factor(id)81   1.3909e-01  7.6825e-15  1.8105e+13 < 2.2e-16 ***
as.factor(id)82   2.3577e+00  7.7238e-15  3.0525e+14 < 2.2e-16 ***
as.factor(id)83  -1.4880e+00  3.4146e-15 -4.3579e+14 < 2.2e-16 ***
as.factor(id)84  -2.2448e+00  3.4110e-15 -6.5812e+14 < 2.2e-16 ***
as.factor(id)85  -1.4500e+00  3.4092e-15 -4.2533e+14 < 2.2e-16 ***
as.factor(id)86  -6.5154e-01  3.4103e-15 -1.9105e+14 < 2.2e-16 ***
as.factor(id)87   2.6499e+00  7.6823e-15  3.4494e+14 < 2.2e-16 ***
as.factor(id)88   2.3970e+00  7.6820e-15  3.1203e+14 < 2.2e-16 ***
as.factor(id)89   1.3951e+00  7.6825e-15  1.8160e+14 < 2.2e-16 ***
as.factor(id)90  -1.1023e+00  3.4089e-15 -3.2335e+14 < 2.2e-16 ***
as.factor(id)91  -2.3470e+00  3.4094e-15 -6.8839e+14 < 2.2e-16 ***
as.factor(id)92   8.1971e-01  7.7142e-15  1.0626e+14 < 2.2e-16 ***
as.factor(id)93  -1.2762e+00  3.4116e-15 -3.7408e+14 < 2.2e-16 ***
as.factor(id)94   2.0573e+00  7.7041e-15  2.6704e+14 < 2.2e-16 ***
as.factor(id)95  -8.2927e-01  3.4927e-15 -2.3743e+14 < 2.2e-16 ***
as.factor(id)96  -1.7652e+00  3.4089e-15 -5.1783e+14 < 2.2e-16 ***
as.factor(id)97   5.4329e-01  7.8139e-15  6.9529e+13 < 2.2e-16 ***
as.factor(id)98  -6.2825e-01  3.4102e-15 -1.8423e+14 < 2.2e-16 ***
as.factor(id)99   1.4549e-01  7.7314e-15  1.8818e+13 < 2.2e-16 ***
as.factor(id)100 -1.9644e+00  3.4094e-15 -5.7617e+14 < 2.2e-16 ***
as.factor(id)101 -1.4439e+00  3.4155e-15 -4.2275e+14 < 2.2e-16 ***
as.factor(id)102  9.4493e-01  7.9612e-15  1.1869e+14 < 2.2e-16 ***
as.factor(id)103 -9.5332e-01  8.5457e-15 -1.1156e+14 < 2.2e-16 ***
as.factor(id)104 -2.8469e+00  3.4102e-15 -8.3480e+14 < 2.2e-16 ***
as.factor(id)105 -8.5561e-01  3.4252e-15 -2.4980e+14 < 2.2e-16 ***
as.factor(id)106  1.9260e+00  7.6860e-15  2.5059e+14 < 2.2e-16 ***
as.factor(id)107 -2.7977e+00  3.4110e-15 -8.2020e+14 < 2.2e-16 ***
as.factor(id)108  3.6310e-01  7.6881e-15  4.7228e+13 < 2.2e-16 ***
as.factor(id)109  5.0989e-01  7.6845e-15  6.6353e+13 < 2.2e-16 ***
as.factor(id)110  7.1119e-01  7.8296e-15  9.0834e+13 < 2.2e-16 ***
as.factor(id)111  1.8149e-01  3.4127e-15  5.3182e+13 < 2.2e-16 ***
as.factor(id)112 -5.5096e-01  7.8197e-15 -7.0458e+13 < 2.2e-16 ***
as.factor(id)113 -3.5499e-01  3.4721e-15 -1.0224e+14 < 2.2e-16 ***
as.factor(id)114 -2.7016e+00  3.4195e-15 -7.9005e+14 < 2.2e-16 ***
as.factor(id)115 -5.1846e-01  3.4094e-15 -1.5207e+14 < 2.2e-16 ***
as.factor(id)116  2.8604e+00  7.8619e-15  3.6384e+14 < 2.2e-16 ***
as.factor(id)117 -2.2448e+00  3.4188e-15 -6.5660e+14 < 2.2e-16 ***
as.factor(id)118 -5.4896e-01  7.6842e-15 -7.1440e+13 < 2.2e-16 ***
as.factor(id)119 -1.6197e+00  3.4846e-15 -4.6482e+14 < 2.2e-16 ***
as.factor(id)120  6.5747e-01  7.6981e-15  8.5407e+13 < 2.2e-16 ***
as.factor(id)121  1.6361e+00  8.4237e-15  1.9423e+14 < 2.2e-16 ***
as.factor(id)122 -8.9273e-01  7.7347e-15 -1.1542e+14 < 2.2e-16 ***
as.factor(id)123 -7.8820e-01  3.4550e-15 -2.2813e+14 < 2.2e-16 ***
as.factor(id)124  8.0306e-01  9.0469e-15  8.8766e+13 < 2.2e-16 ***
as.factor(id)125 -8.5095e-01  3.4165e-15 -2.4907e+14 < 2.2e-16 ***
as.factor(id)126  6.8853e-01  7.6964e-15  8.9461e+13 < 2.2e-16 ***
as.factor(id)127  1.9073e+00  7.6909e-15  2.4800e+14 < 2.2e-16 ***
as.factor(id)128  1.5319e+00  7.6856e-15  1.9931e+14 < 2.2e-16 ***
as.factor(id)129  2.1084e-01  3.4090e-15  6.1849e+13 < 2.2e-16 ***
as.factor(id)130  2.1723e-01  7.7314e-15  2.8097e+13 < 2.2e-16 ***
as.factor(id)131 -1.0481e+00  3.4117e-15 -3.0722e+14 < 2.2e-16 ***
as.factor(id)132  1.3678e+00  7.7435e-15  1.7664e+14 < 2.2e-16 ***
as.factor(id)133 -3.2907e+00  3.4110e-15 -9.6473e+14 < 2.2e-16 ***
as.factor(id)134 -2.5417e+00  3.4110e-15 -7.4516e+14 < 2.2e-16 ***
as.factor(id)135  2.0977e+00  7.6911e-15  2.7274e+14 < 2.2e-16 ***
as.factor(id)136 -1.6401e+00  3.4115e-15 -4.8075e+14 < 2.2e-16 ***
as.factor(id)137  7.6785e-01  7.6840e-15  9.9929e+13 < 2.2e-16 ***
as.factor(id)138  1.7909e+00  3.4175e-15  5.2405e+14 < 2.2e-16 ***
as.factor(id)139 -1.5147e+00  3.4145e-15 -4.4360e+14 < 2.2e-16 ***
as.factor(id)140 -3.8739e-01  7.8741e-15 -4.9198e+13 < 2.2e-16 ***
as.factor(id)141 -2.5362e-01  3.4116e-15 -7.4341e+13 < 2.2e-16 ***
as.factor(id)142  6.1801e-01  7.7435e-15  7.9809e+13 < 2.2e-16 ***
as.factor(id)143 -3.6933e+00  3.4088e-15 -1.0835e+15 < 2.2e-16 ***
as.factor(id)144 -2.1538e+00  3.4100e-15 -6.3162e+14 < 2.2e-16 ***
as.factor(id)145  1.7802e+00  7.7630e-15  2.2932e+14 < 2.2e-16 ***
as.factor(id)146  3.3746e+00  7.7072e-15  4.3785e+14 < 2.2e-16 ***
as.factor(id)147  8.5313e-01  3.4175e-15  2.4963e+14 < 2.2e-16 ***
as.factor(id)148 -1.4505e+00  3.4088e-15 -4.2551e+14 < 2.2e-16 ***
as.factor(id)149  1.3143e+00  7.7055e-15  1.7057e+14 < 2.2e-16 ***
as.factor(id)150  9.1507e-01  7.6922e-15  1.1896e+14 < 2.2e-16 ***
as.factor(id)151 -9.2890e-01  3.4152e-15 -2.7199e+14 < 2.2e-16 ***
as.factor(id)152 -3.1150e-01  3.4862e-15 -8.9352e+13 < 2.2e-16 ***
as.factor(id)153  1.4099e+00  7.8568e-15  1.7944e+14 < 2.2e-16 ***
as.factor(id)154 -4.1778e+00  3.5520e-15 -1.1762e+15 < 2.2e-16 ***
as.factor(id)155  9.7492e-01  7.7326e-15  1.2608e+14 < 2.2e-16 ***
as.factor(id)156 -2.1135e+00  3.4159e-15 -6.1872e+14 < 2.2e-16 ***
as.factor(id)157  1.6592e+00  7.7115e-15  2.1516e+14 < 2.2e-16 ***
as.factor(id)158  9.5909e-01  7.6858e-15  1.2479e+14 < 2.2e-16 ***
as.factor(id)159 -1.6996e+00  3.4126e-15 -4.9803e+14 < 2.2e-16 ***
as.factor(id)162 -1.7118e+00  3.4110e-15 -5.0186e+14 < 2.2e-16 ***
as.factor(id)163  3.5621e-01  7.6821e-15  4.6368e+13 < 2.2e-16 ***
as.factor(id)164  1.2087e+00  7.7104e-15  1.5677e+14 < 2.2e-16 ***
as.factor(id)165 -1.4602e+00  3.4267e-15 -4.2612e+14 < 2.2e-16 ***
as.factor(id)166 -3.1003e+00  3.4134e-15 -9.0826e+14 < 2.2e-16 ***
as.factor(id)167 -2.3073e-01  1.1249e-14 -2.0511e+13 < 2.2e-16 ***
as.factor(id)168  1.8358e-01  7.6884e-15  2.3877e+13 < 2.2e-16 ***
as.factor(id)169 -2.0666e+00  3.4131e-15 -6.0549e+14 < 2.2e-16 ***
as.factor(id)171 -1.6174e-02  3.4116e-15 -4.7408e+12 < 2.2e-16 ***
as.factor(id)172  1.8550e+00  8.0854e-15  2.2942e+14 < 2.2e-16 ***
as.factor(id)174 -1.0295e-02  3.4206e-15 -3.0098e+12 < 2.2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
coeftest(value_model_log, se = sqrt(diag(vcovCL(value_model_log, cluster = df[ , as.factor(id)]))))

t test of coefficients:

                  Estimate Std. Error t value  Pr(>|t|)    
(Intercept)       9.565327   0.299814 31.9042 < 2.2e-16 ***
treatment        -0.726246   0.464469 -1.5636 0.1185309    
as.factor(id)73   1.593164   0.464469  3.4301 0.0006523 ***
as.factor(id)74   1.786059   0.480326  3.7184 0.0002227 ***
as.factor(id)77   0.389079   0.424001  0.9176 0.3592421    
as.factor(id)78   0.899962   0.501684  1.7939 0.0734244 .  
as.factor(id)79   0.307710   0.424001  0.7257 0.4683374    
as.factor(id)80  -0.409737   0.441314 -0.9284 0.3536140    
as.factor(id)81   0.139090   0.464469  0.2995 0.7647109    
as.factor(id)82   2.357713   0.452212  5.2137 2.694e-07 ***
as.factor(id)83  -1.488020   0.410537 -3.6246 0.0003185 ***
as.factor(id)84  -2.244833   0.464469 -4.8331 1.781e-06 ***
as.factor(id)85  -1.450050   0.424001 -3.4199 0.0006766 ***
as.factor(id)86  -0.651543   0.441314 -1.4764 0.1404616    
as.factor(id)87   2.649914   0.480326  5.5169 5.495e-08 ***
as.factor(id)88   2.396996   0.464469  5.1607 3.530e-07 ***
as.factor(id)89   1.395122   0.464469  3.0037 0.0027983 ** 
as.factor(id)90  -1.102257   0.399752 -2.7574 0.0060361 ** 
as.factor(id)91  -2.346958   0.410537 -5.7168 1.849e-08 ***
as.factor(id)92   0.819706   0.452212  1.8127 0.0704723 .  
as.factor(id)93  -1.276211   0.410537 -3.1086 0.0019845 ** 
as.factor(id)94   2.057260   0.452212  4.5493 6.733e-06 ***
as.factor(id)95  -0.829267   0.497185 -1.6679 0.0959446 .  
as.factor(id)96  -1.765213   0.410537 -4.2998 2.049e-05 ***
as.factor(id)97   0.543290   0.452212  1.2014 0.2301516    
as.factor(id)98  -0.628254   0.424001 -1.4817 0.1390303    
as.factor(id)99   0.145491   0.480326  0.3029 0.7620888    
as.factor(id)100 -1.964425   0.441314 -4.4513 1.049e-05 ***
as.factor(id)101 -1.443887   0.464469 -3.1087 0.0019842 ** 
as.factor(id)102  0.944929   0.480326  1.9673 0.0496941 *  
as.factor(id)103 -0.953320   0.532117 -1.7916 0.0737960 .  
as.factor(id)104 -2.846857   0.464469 -6.1293 1.769e-09 ***
as.factor(id)105 -0.855607   0.497185 -1.7209 0.0858750 .  
as.factor(id)106  1.926033   0.452212  4.2591 2.444e-05 ***
as.factor(id)107 -2.797690   0.424001 -6.5983 1.044e-10 ***
as.factor(id)108  0.363095   0.501684  0.7238 0.4695497    
as.factor(id)109  0.509889   0.501684  1.0164 0.3099426    
as.factor(id)110  0.711195   0.464469  1.5312 0.1263405    
as.factor(id)111  0.181493   0.441314  0.4113 0.6810582    
as.factor(id)112 -0.550960   0.452212 -1.2184 0.2236479    
as.factor(id)113 -0.354987   0.848001 -0.4186 0.6756733    
as.factor(id)114 -2.701599   0.410537 -6.5806 1.164e-10 ***
as.factor(id)115 -0.518458   0.441314 -1.1748 0.2406206    
as.factor(id)116  2.860443   0.532117  5.3756 1.164e-07 ***
as.factor(id)117 -2.244780   0.547383 -4.1009 4.788e-05 ***
as.factor(id)118 -0.548955   0.452212 -1.2139 0.2253350    
as.factor(id)119 -1.619733   0.547383 -2.9591 0.0032293 ** 
as.factor(id)120  0.657471   0.452212  1.4539 0.1465894    
as.factor(id)121  1.636132   0.442444  3.6979 0.0002409 ***
as.factor(id)122 -0.892734   0.501684 -1.7795 0.0757576 .  
as.factor(id)123 -0.788204   0.410537 -1.9199 0.0554237 .  
as.factor(id)124  0.803065   0.532117  1.5092 0.1318696    
as.factor(id)125 -0.850946   0.441314 -1.9282 0.0543839 .  
as.factor(id)126  0.688528   0.452212  1.5226 0.1284840    
as.factor(id)127  1.907301   0.434471  4.3899 1.379e-05 ***
as.factor(id)128  1.531853   0.464469  3.2981 0.0010415 ** 
as.factor(id)129  0.210844   0.424001  0.4973 0.6192114    
as.factor(id)130  0.217227   0.442444  0.4910 0.6236586    
as.factor(id)131 -1.048134   0.441314 -2.3750 0.0179163 *  
as.factor(id)132  1.367798   0.480326  2.8476 0.0045821 ** 
as.factor(id)133 -3.290698   0.464469 -7.0849 4.650e-12 ***
as.factor(id)134 -2.541725   0.424001 -5.9946 3.862e-09 ***
as.factor(id)135  2.097683   0.464469  4.5163 7.825e-06 ***
as.factor(id)136 -1.640052   0.464469 -3.5310 0.0004515 ***
as.factor(id)137  0.767851   0.480326  1.5986 0.1105283    
as.factor(id)138  1.790931   0.547383  3.2718 0.0011410 ** 
as.factor(id)139 -1.514657   0.497185 -3.0465 0.0024354 ** 
as.factor(id)140 -0.387388   0.501684 -0.7722 0.4403680    
as.factor(id)141 -0.253620   0.497185 -0.5101 0.6101931    
as.factor(id)142  0.618005   0.464469  1.3306 0.1839278    
as.factor(id)143 -3.693340   0.441314 -8.3690 5.620e-16 ***
as.factor(id)144 -2.153846   0.497185 -4.3321 1.779e-05 ***
as.factor(id)145  1.780212   0.464469  3.8328 0.0001425 ***
as.factor(id)146  3.374598   0.464469  7.2655 1.402e-12 ***
as.factor(id)147  0.853127   0.547383  1.5586 0.1197215    
as.factor(id)148 -1.450493   0.497185 -2.9174 0.0036851 ** 
as.factor(id)149  1.314301   0.452212  2.9064 0.0038154 ** 
as.factor(id)150  0.915069   0.464469  1.9701 0.0493632 *  
as.factor(id)151 -0.928899   0.424001 -2.1908 0.0289184 *  
as.factor(id)152 -0.311498   0.497185 -0.6265 0.5312515    
as.factor(id)153  1.409851   0.501684  2.8102 0.0051408 ** 
as.factor(id)154 -4.177752   0.464469 -8.9947 < 2.2e-16 ***
as.factor(id)155  0.974924   0.452212  2.1559 0.0315586 *  
as.factor(id)156 -2.113477   0.464469 -4.5503 6.703e-06 ***
as.factor(id)157  1.659233   0.442444  3.7502 0.0001970 ***
as.factor(id)158  0.959092   0.501684  1.9117 0.0564691 .  
as.factor(id)159 -1.699553   0.464469 -3.6591 0.0002794 ***
as.factor(id)162 -1.711847   0.424001 -4.0374 6.236e-05 ***
as.factor(id)163  0.356208   0.464469  0.7669 0.4434876    
as.factor(id)164  1.208744   0.464469  2.6024 0.0095262 ** 
as.factor(id)165 -1.460208   0.410537 -3.5568 0.0004104 ***
as.factor(id)166 -3.100306   0.441314 -7.0252 6.874e-12 ***
as.factor(id)167 -0.230727   0.532117 -0.4336 0.6647609    
as.factor(id)168  0.183576   0.464469  0.3952 0.6928330    
as.factor(id)169 -2.066590   0.464469 -4.4494 1.058e-05 ***
as.factor(id)171 -0.016174   0.410537 -0.0394 0.9685896    
as.factor(id)172  1.854962   0.464469  3.9937 7.461e-05 ***
as.factor(id)173        NA         NA      NA        NA    
as.factor(id)174 -0.010295   0.547383 -0.0188 0.9850013    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
stargazer::stargazer(value_model_log, header = T, type='html', se = list(NULL,sqrt(diag(vcovCL(value_model_log, cluster = df[ , as.factor(id)])))),out='value_model_log_table.html')
length of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changed

<table style="text-align:center"><tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"></td><td><em>Dependent variable:</em></td></tr>
<tr><td></td><td colspan="1" style="border-bottom: 1px solid black"></td></tr>
<tr><td style="text-align:left"></td><td>log(white_value_diff)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">treatment</td><td>-0.726</td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)73</td><td>1.593<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)74</td><td>1.786<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.480)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)77</td><td>0.389</td></tr>
<tr><td style="text-align:left"></td><td>(0.424)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)78</td><td>0.900<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.502)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)79</td><td>0.308</td></tr>
<tr><td style="text-align:left"></td><td>(0.424)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)80</td><td>-0.410</td></tr>
<tr><td style="text-align:left"></td><td>(0.441)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)81</td><td>0.139</td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)82</td><td>2.358<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.452)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)83</td><td>-1.488<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.411)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)84</td><td>-2.245<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)85</td><td>-1.450<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.424)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)86</td><td>-0.652</td></tr>
<tr><td style="text-align:left"></td><td>(0.441)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)87</td><td>2.650<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.480)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)88</td><td>2.397<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)89</td><td>1.395<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)90</td><td>-1.102<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.400)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)91</td><td>-2.347<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.411)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)92</td><td>0.820<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.452)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)93</td><td>-1.276<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.411)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)94</td><td>2.057<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.452)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)95</td><td>-0.829<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.497)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)96</td><td>-1.765<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.411)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)97</td><td>0.543</td></tr>
<tr><td style="text-align:left"></td><td>(0.452)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)98</td><td>-0.628</td></tr>
<tr><td style="text-align:left"></td><td>(0.424)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)99</td><td>0.145</td></tr>
<tr><td style="text-align:left"></td><td>(0.480)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)100</td><td>-1.964<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.441)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)101</td><td>-1.444<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)102</td><td>0.945<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.480)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)103</td><td>-0.953<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.532)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)104</td><td>-2.847<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)105</td><td>-0.856<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.497)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)106</td><td>1.926<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.452)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)107</td><td>-2.798<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.424)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)108</td><td>0.363</td></tr>
<tr><td style="text-align:left"></td><td>(0.502)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)109</td><td>0.510</td></tr>
<tr><td style="text-align:left"></td><td>(0.502)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)110</td><td>0.711</td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)111</td><td>0.181</td></tr>
<tr><td style="text-align:left"></td><td>(0.441)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)112</td><td>-0.551</td></tr>
<tr><td style="text-align:left"></td><td>(0.452)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)113</td><td>-0.355</td></tr>
<tr><td style="text-align:left"></td><td>(0.848)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)114</td><td>-2.702<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.411)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)115</td><td>-0.518</td></tr>
<tr><td style="text-align:left"></td><td>(0.441)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)116</td><td>2.860<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.532)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)117</td><td>-2.245<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.547)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)118</td><td>-0.549</td></tr>
<tr><td style="text-align:left"></td><td>(0.452)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)119</td><td>-1.620<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.547)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)120</td><td>0.657</td></tr>
<tr><td style="text-align:left"></td><td>(0.452)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)121</td><td>1.636<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.442)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)122</td><td>-0.893<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.502)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)123</td><td>-0.788<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.411)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)124</td><td>0.803</td></tr>
<tr><td style="text-align:left"></td><td>(0.532)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)125</td><td>-0.851<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.441)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)126</td><td>0.689</td></tr>
<tr><td style="text-align:left"></td><td>(0.452)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)127</td><td>1.907<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.434)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)128</td><td>1.532<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)129</td><td>0.211</td></tr>
<tr><td style="text-align:left"></td><td>(0.424)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)130</td><td>0.217</td></tr>
<tr><td style="text-align:left"></td><td>(0.442)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)131</td><td>-1.048<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.441)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)132</td><td>1.368<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.480)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)133</td><td>-3.291<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)134</td><td>-2.542<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.424)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)135</td><td>2.098<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)136</td><td>-1.640<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)137</td><td>0.768</td></tr>
<tr><td style="text-align:left"></td><td>(0.480)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)138</td><td>1.791<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.547)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)139</td><td>-1.515<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.497)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)140</td><td>-0.387</td></tr>
<tr><td style="text-align:left"></td><td>(0.502)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)141</td><td>-0.254</td></tr>
<tr><td style="text-align:left"></td><td>(0.497)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)142</td><td>0.618</td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)143</td><td>-3.693<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.441)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)144</td><td>-2.154<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.497)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)145</td><td>1.780<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)146</td><td>3.375<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)147</td><td>0.853</td></tr>
<tr><td style="text-align:left"></td><td>(0.547)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)148</td><td>-1.450<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.497)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)149</td><td>1.314<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.452)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)150</td><td>0.915<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)151</td><td>-0.929<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.424)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)152</td><td>-0.311</td></tr>
<tr><td style="text-align:left"></td><td>(0.497)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)153</td><td>1.410<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.502)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)154</td><td>-4.178<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)155</td><td>0.975<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.452)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)156</td><td>-2.113<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)157</td><td>1.659<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.442)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)158</td><td>0.959<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.502)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)159</td><td>-1.700<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)162</td><td>-1.712<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.424)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)163</td><td>0.356</td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)164</td><td>1.209<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)165</td><td>-1.460<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.411)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)166</td><td>-3.100<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.441)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)167</td><td>-0.231</td></tr>
<tr><td style="text-align:left"></td><td>(0.532)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)168</td><td>0.184</td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)169</td><td>-2.067<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)171</td><td>-0.016</td></tr>
<tr><td style="text-align:left"></td><td>(0.411)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)172</td><td>1.855<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.464)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)173</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)174</td><td>-0.010</td></tr>
<tr><td style="text-align:left"></td><td>(0.547)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">Constant</td><td>9.565<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.300)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">Observations</td><td>608</td></tr>
<tr><td style="text-align:left">R<sup>2</sup></td><td>0.771</td></tr>
<tr><td style="text-align:left">Adjusted R<sup>2</sup></td><td>0.727</td></tr>
<tr><td style="text-align:left">Residual Std. Error</td><td>0.793 (df = 510)</td></tr>
<tr><td style="text-align:left">F Statistic</td><td>17.702<sup>***</sup> (df = 97; 510)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"><em>Note:</em></td><td style="text-align:right"><sup>*</sup>p<0.1; <sup>**</sup>p<0.05; <sup>***</sup>p<0.01</td></tr>
</table>
value_model_no_cluster = df[, lm(log(white_value_diff) ~ treatment + as.factor(id))]

coeftest(value_model_no_cluster)
summary(value_model_no_cluster)
stargazer::stargazer(value_model_no_cluster, header = T, type='html',out='value_model_no_cluster_table.html')

plot(value_model_no_cluster)
value_model_no_id = df[, lm(log(white_value_diff) ~ treatment)]
NaNs produced
coeftest(value_model_no_id)

t test of coefficients:

            Estimate Std. Error t value  Pr(>|t|)    
(Intercept) 8.228995   0.074997 109.724 < 2.2e-16 ***
treatment   1.678083   0.103055  16.283 < 2.2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
stargazer::stargazer(value_model_no_id, header = T, type='html',out='value_model_no_id_table.html')
length of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changed

<table style="text-align:center"><tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"></td><td><em>Dependent variable:</em></td></tr>
<tr><td></td><td colspan="1" style="border-bottom: 1px solid black"></td></tr>
<tr><td style="text-align:left"></td><td>log(white_value_diff)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">treatment</td><td>1.678<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.103)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">Constant</td><td>8.229<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.075)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">Observations</td><td>608</td></tr>
<tr><td style="text-align:left">R<sup>2</sup></td><td>0.304</td></tr>
<tr><td style="text-align:left">Adjusted R<sup>2</sup></td><td>0.303</td></tr>
<tr><td style="text-align:left">Residual Std. Error</td><td>1.268 (df = 606)</td></tr>
<tr><td style="text-align:left">F Statistic</td><td>265.149<sup>***</sup> (df = 1; 606)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"><em>Note:</em></td><td style="text-align:right"><sup>*</sup>p<0.1; <sup>**</sup>p<0.05; <sup>***</sup>p<0.01</td></tr>
</table>
value_model_cluster_no_id = df[, lm(log(white_value_diff) ~ treatment)]
NaNs produced
coeftest(value_model_cluster_no_id, se = sqrt(diag(vcovCL(value_model_log, cluster = df[ , as.factor(id)]))))

t test of coefficients:

            Estimate Std. Error t value  Pr(>|t|)    
(Intercept) 8.228995   0.074997 109.724 < 2.2e-16 ***
treatment   1.678083   0.103055  16.283 < 2.2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
stargazer::stargazer(value_model_cluster_no_id, header = T, type='html', se = list(NULL,sqrt(diag(vcovCL(value_model_log, cluster = df[ , as.factor(id)])))),out='value_model_cluster_no_id_table.html')
length of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changed

<table style="text-align:center"><tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"></td><td><em>Dependent variable:</em></td></tr>
<tr><td></td><td colspan="1" style="border-bottom: 1px solid black"></td></tr>
<tr><td style="text-align:left"></td><td>log(white_value_diff)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">treatment</td><td>1.678<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.103)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">Constant</td><td>8.229<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.075)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">Observations</td><td>608</td></tr>
<tr><td style="text-align:left">R<sup>2</sup></td><td>0.304</td></tr>
<tr><td style="text-align:left">Adjusted R<sup>2</sup></td><td>0.303</td></tr>
<tr><td style="text-align:left">Residual Std. Error</td><td>1.268 (df = 606)</td></tr>
<tr><td style="text-align:left">F Statistic</td><td>265.149<sup>***</sup> (df = 1; 606)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"><em>Note:</em></td><td style="text-align:right"><sup>*</sup>p<0.1; <sup>**</sup>p<0.05; <sup>***</sup>p<0.01</td></tr>
</table>
value_model_demo = df[, lm(log(white_value_diff) ~ treatment + as.factor(demographic_race) + as.factor(ethnicity) + as.factor(gender) + age  + as.factor(education) + as.factor(residency_type) + as.factor(ownership) + as.factor(RE_job) + as.factor(id))]
NaNs produced
coeftest(value_model_demo)

t test of coefficients:

                                                                                                                                                 Estimate Std. Error t value  Pr(>|t|)    
(Intercept)                                                                                                                                      7.389465   1.948153  3.7931 0.0001666 ***
treatment                                                                                                                                        0.378470   0.472421  0.8011 0.4234300    
as.factor(demographic_race)East Asian                                                                                                            7.105407   1.102411  6.4453 2.676e-10 ***
as.factor(demographic_race)Multiracial                                                                                                           6.331452   1.309651  4.8345 1.770e-06 ***
as.factor(demographic_race)White                                                                                                                 6.759504   0.946538  7.1413 3.205e-12 ***
as.factor(ethnicity)Yes                                                                                                                         -4.200343   0.905808 -4.6371 4.495e-06 ***
as.factor(gender)Male                                                                                                                           -0.142927   0.451868 -0.3163 0.7519023    
age                                                                                                                                             -0.124764   0.030057 -4.1509 3.880e-05 ***
as.factor(education)Bachelor's                                                                                                                  -0.652919   0.924180 -0.7065 0.4802095    
as.factor(education)High school                                                                                                                 -0.691941   1.052839 -0.6572 0.5113391    
as.factor(education)Master's / MBA                                                                                                              -2.950396   1.788804 -1.6494 0.0996880 .  
as.factor(education)Ph.D                                                                                                                        -0.937131   1.289317 -0.7268 0.4676557    
as.factor(residency_type)Suburban area: I live in a metropolitan area, but not in a city.                                                       -2.341918   0.870270 -2.6910 0.0073571 ** 
as.factor(residency_type)Urban area: I live within the principal city of a metropolitan area.                                                    0.146225   0.622168  0.2350 0.8142842    
as.factor(ownership)I currently own property.                                                                                                    2.904370   0.992402  2.9266 0.0035797 ** 
as.factor(ownership)I currently own property.,I have owned property in the past that I do not currently own.                                     0.912705   0.929357  0.9821 0.3265253    
as.factor(ownership)I currently rent from a property owner or management company                                                                -0.696356   0.465441 -1.4961 0.1352410    
as.factor(ownership)I have owned property in the past that I do not currently own.                                                               0.774807   1.164177  0.6655 0.5060055    
as.factor(ownership)I have owned property in the past that I do not currently own.,I currently do not pay rent or ownership costs                3.856426   2.241160  1.7207 0.0859068 .  
as.factor(ownership)I have owned property in the past that I do not currently own.,I currently rent from a property owner or management company  2.850649   1.066109  2.6739 0.0077384 ** 
as.factor(RE_job)I have never studied or worked in this field.                                                                                   0.630030   0.708194  0.8896 0.3740851    
as.factor(RE_job)I have previously worked in this field.                                                                                        -3.925595   0.944858 -4.1547 3.819e-05 ***
as.factor(RE_job)Other (please explain):                                                                                                         2.058160   1.295929  1.5882 0.1128669    
as.factor(id)73                                                                                                                                 -2.859452   0.889092 -3.2161 0.0013817 ** 
as.factor(id)74                                                                                                                                  4.791421   1.129361  4.2426 2.625e-05 ***
as.factor(id)77                                                                                                                                  1.665112   0.718122  2.3187 0.0208056 *  
as.factor(id)78                                                                                                                                 -0.048835   0.742506 -0.0658 0.9475867    
as.factor(id)79                                                                                                                                  6.585214   2.022063  3.2567 0.0012022 ** 
as.factor(id)80                                                                                                                                  0.536069   1.182943  0.4532 0.6506221    
as.factor(id)81                                                                                                                                  6.518259   1.733832  3.7595 0.0001900 ***
as.factor(id)82                                                                                                                                  2.357713   0.452212  5.2137 2.694e-07 ***
as.factor(id)83                                                                                                                                  4.420478   1.858993  2.3779 0.0177796 *  
as.factor(id)84                                                                                                                                 -4.722680   0.860663 -5.4873 6.441e-08 ***
as.factor(id)85                                                                                                                                  5.683747   0.988044  5.7525 1.517e-08 ***
as.factor(id)86                                                                                                                                 -1.244209   0.812465 -1.5314 0.1262907    
as.factor(id)87                                                                                                                                  0.058322   0.900191  0.0648 0.9483682    
as.factor(id)88                                                                                                                                 -0.312217   0.810961 -0.3850 0.7004002    
as.factor(id)89                                                                                                                                 -0.120852   0.784706 -0.1540 0.8776637    
as.factor(id)90                                                                                                                                  0.501517   0.716735  0.6997 0.4844187    
as.factor(id)91                                                                                                                                  1.014534   0.964438  1.0519 0.2933234    
as.factor(id)92                                                                                                                                 -2.318204   1.124219 -2.0621 0.0397084 *  
as.factor(id)93                                                                                                                                  1.835754   0.924258  1.9862 0.0475469 *  
as.factor(id)94                                                                                                                                  1.202073   0.590036  2.0373 0.0421372 *  
as.factor(id)95                                                                                                                                  2.446484   1.125013  2.1746 0.0301169 *  
as.factor(id)96                                                                                                                                  3.987662   1.731956  2.3024 0.0217142 *  
as.factor(id)97                                                                                                                                  1.450977   0.649470  2.2341 0.0259095 *  
as.factor(id)98                                                                                                                                  2.916866   1.185529  2.4604 0.0142090 *  
as.factor(id)99                                                                                                                                  5.585485   1.469687  3.8005 0.0001619 ***
as.factor(id)100                                                                                                                                -5.697552   1.728676 -3.2959 0.0010493 ** 
as.factor(id)101                                                                                                                                -2.574633   0.705041 -3.6517 0.0002874 ***
as.factor(id)102                                                                                                                                -1.022842   0.815574 -1.2541 0.2103665    
as.factor(id)103                                                                                                                                -2.087133   1.270884 -1.6423 0.1011508    
as.factor(id)104                                                                                                                                 0.966433   0.654795  1.4759 0.1405792    
as.factor(id)105                                                                                                                                 2.006829   0.929648  2.1587 0.0313395 *  
as.factor(id)106                                                                                                                                 0.438663   0.946321  0.4635 0.6431708    
as.factor(id)107                                                                                                                                -2.509139   0.578111 -4.3402 1.717e-05 ***
as.factor(id)108                                                                                                                                 1.180722   1.625451  0.7264 0.4679290    
as.factor(id)109                                                                                                                                 2.273857   0.920548  2.4701 0.0138332 *  
as.factor(id)110                                                                                                                                 1.804976   0.663794  2.7192 0.0067674 ** 
as.factor(id)111                                                                                                                                 6.064146   1.691223  3.5857 0.0003686 ***
as.factor(id)112                                                                                                                                 0.379575   0.640211  0.5929 0.5535169    
as.factor(id)113                                                                                                                                -3.796351   1.590541 -2.3868 0.0173579 *  
as.factor(id)114                                                                                                                                       NA         NA      NA        NA    
as.factor(id)115                                                                                                                                 0.126224   0.718218  0.1757 0.8605637    
as.factor(id)116                                                                                                                                 3.398908   0.896548  3.7911 0.0001679 ***
as.factor(id)117                                                                                                                                -5.346449   1.010849 -5.2891 1.828e-07 ***
as.factor(id)118                                                                                                                                 7.218958   1.447885  4.9859 8.468e-07 ***
as.factor(id)119                                                                                                                                -2.040868   0.883160 -2.3109 0.0212380 *  
as.factor(id)120                                                                                                                                -0.062657   0.695765 -0.0901 0.9282787    
as.factor(id)121                                                                                                                                       NA         NA      NA        NA    
as.factor(id)122                                                                                                                                 3.648823   1.465492  2.4898 0.0130979 *  
as.factor(id)123                                                                                                                                 0.365831   0.966857  0.3784 0.7053124    
as.factor(id)124                                                                                                                                       NA         NA      NA        NA    
as.factor(id)125                                                                                                                                -1.856927   0.689290 -2.6940 0.0072933 ** 
as.factor(id)126                                                                                                                                -0.759325   0.698078 -1.0877 0.2772248    
as.factor(id)127                                                                                                                                10.281596   1.688619  6.0888 2.240e-09 ***
as.factor(id)128                                                                                                                                 1.292619   0.693869  1.8629 0.0630489 .  
as.factor(id)129                                                                                                                                       NA         NA      NA        NA    
as.factor(id)130                                                                                                                                -1.665896   1.058004 -1.5746 0.1159771    
as.factor(id)131                                                                                                                                -0.556944   0.777298 -0.7165 0.4740032    
as.factor(id)132                                                                                                                                 0.302104   0.680909  0.4437 0.6574637    
as.factor(id)133                                                                                                                                -0.286059   0.925175 -0.3092 0.7573001    
as.factor(id)134                                                                                                                                -1.733379   0.939569 -1.8449 0.0656367 .  
as.factor(id)135                                                                                                                                 4.749766   1.514493  3.1362 0.0018103 ** 
as.factor(id)136                                                                                                                                       NA         NA      NA        NA    
as.factor(id)137                                                                                                                                 0.932238   0.848831  1.0983 0.2726088    
as.factor(id)138                                                                                                                                 4.472996   1.264110  3.5385 0.0004393 ***
as.factor(id)139                                                                                                                                -3.347822   0.920246 -3.6380 0.0003028 ***
as.factor(id)140                                                                                                                                 3.288609   1.089805  3.0176 0.0026751 ** 
as.factor(id)141                                                                                                                                 3.460212   0.768701  4.5014 8.373e-06 ***
as.factor(id)142                                                                                                                                -3.357013   0.885075 -3.7929 0.0001667 ***
as.factor(id)143                                                                                                                                 1.165325   1.250381  0.9320 0.3517898    
as.factor(id)144                                                                                                                                       NA         NA      NA        NA    
as.factor(id)145                                                                                                                                       NA         NA      NA        NA    
as.factor(id)146                                                                                                                                 7.292333   1.347120  5.4133 9.542e-08 ***
as.factor(id)147                                                                                                                                 5.002228   1.285512  3.8912 0.0001130 ***
as.factor(id)148                                                                                                                                 7.430004   1.204572  6.1682 1.408e-09 ***
as.factor(id)149                                                                                                                                       NA         NA      NA        NA    
as.factor(id)150                                                                                                                                 2.001706   0.654175  3.0599 0.0023307 ** 
as.factor(id)151                                                                                                                                -0.294782   0.567638 -0.5193 0.6037681    
as.factor(id)152                                                                                                                                -3.266942   0.950065 -3.4387 0.0006325 ***
as.factor(id)153                                                                                                                                       NA         NA      NA        NA    
as.factor(id)154                                                                                                                                       NA         NA      NA        NA    
as.factor(id)155                                                                                                                                 2.732643   0.975903  2.8001 0.0053022 ** 
as.factor(id)156                                                                                                                                -0.078225   0.733187 -0.1067 0.9150750    
as.factor(id)157                                                                                                                                 1.087911   0.905342  1.2017 0.2300539    
as.factor(id)158                                                                                                                                       NA         NA      NA        NA    
as.factor(id)159                                                                                                                                -4.530233   0.909951 -4.9785 8.779e-07 ***
as.factor(id)162                                                                                                                                       NA         NA      NA        NA    
as.factor(id)163                                                                                                                                -3.875976   1.488841 -2.6034 0.0095006 ** 
as.factor(id)164                                                                                                                                       NA         NA      NA        NA    
as.factor(id)165                                                                                                                                       NA         NA      NA        NA    
as.factor(id)166                                                                                                                                       NA         NA      NA        NA    
as.factor(id)167                                                                                                                                       NA         NA      NA        NA    
as.factor(id)168                                                                                                                                       NA         NA      NA        NA    
as.factor(id)169                                                                                                                                       NA         NA      NA        NA    
as.factor(id)171                                                                                                                                       NA         NA      NA        NA    
as.factor(id)172                                                                                                                                       NA         NA      NA        NA    
as.factor(id)173                                                                                                                                       NA         NA      NA        NA    
as.factor(id)174                                                                                                                                       NA         NA      NA        NA    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
stargazer::stargazer(value_model_demo, header = T, type='html',out='value_model_demo_table.html')
length of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changed

<table style="text-align:center"><tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"></td><td><em>Dependent variable:</em></td></tr>
<tr><td></td><td colspan="1" style="border-bottom: 1px solid black"></td></tr>
<tr><td style="text-align:left"></td><td>log(white_value_diff)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">treatment</td><td>0.378</td></tr>
<tr><td style="text-align:left"></td><td>(0.472)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(demographic_race)East Asian</td><td>7.105<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.102)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(demographic_race)Multiracial</td><td>6.331<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.310)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(demographic_race)White</td><td>6.760<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.947)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(ethnicity)Yes</td><td>-4.200<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.906)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(gender)Male</td><td>-0.143</td></tr>
<tr><td style="text-align:left"></td><td>(0.452)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">age</td><td>-0.125<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.030)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(education)Bachelor's</td><td>-0.653</td></tr>
<tr><td style="text-align:left"></td><td>(0.924)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(education)High school</td><td>-0.692</td></tr>
<tr><td style="text-align:left"></td><td>(1.053)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(education)Master's / MBA</td><td>-2.950<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.789)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(education)Ph.D</td><td>-0.937</td></tr>
<tr><td style="text-align:left"></td><td>(1.289)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(residency_type)Suburban area: I live in a metropolitan area, but not in a city.</td><td>-2.342<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.870)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(residency_type)Urban area: I live within the principal city of a metropolitan area.</td><td>0.146</td></tr>
<tr><td style="text-align:left"></td><td>(0.622)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(ownership)I currently own property.</td><td>2.904<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.992)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(ownership)I currently own property.,I have owned property in the past that I do not currently own.</td><td>0.913</td></tr>
<tr><td style="text-align:left"></td><td>(0.929)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(ownership)I currently rent from a property owner or management company</td><td>-0.696</td></tr>
<tr><td style="text-align:left"></td><td>(0.465)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(ownership)I have owned property in the past that I do not currently own.</td><td>0.775</td></tr>
<tr><td style="text-align:left"></td><td>(1.164)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(ownership)I have owned property in the past that I do not currently own.,I currently do not pay rent or ownership costs</td><td>3.856<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(2.241)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(ownership)I have owned property in the past that I do not currently own.,I currently rent from a property owner or management company</td><td>2.851<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.066)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(RE_job)I have never studied or worked in this field.</td><td>0.630</td></tr>
<tr><td style="text-align:left"></td><td>(0.708)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(RE_job)I have previously worked in this field.</td><td>-3.926<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.945)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(RE_job)Other (please explain):</td><td>2.058</td></tr>
<tr><td style="text-align:left"></td><td>(1.296)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)73</td><td>-2.859<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.889)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)74</td><td>4.791<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.129)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)77</td><td>1.665<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.718)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)78</td><td>-0.049</td></tr>
<tr><td style="text-align:left"></td><td>(0.743)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)79</td><td>6.585<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(2.022)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)80</td><td>0.536</td></tr>
<tr><td style="text-align:left"></td><td>(1.183)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)81</td><td>6.518<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.734)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)82</td><td>2.358<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.452)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)83</td><td>4.420<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.859)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)84</td><td>-4.723<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.861)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)85</td><td>5.684<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.988)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)86</td><td>-1.244</td></tr>
<tr><td style="text-align:left"></td><td>(0.812)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)87</td><td>0.058</td></tr>
<tr><td style="text-align:left"></td><td>(0.900)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)88</td><td>-0.312</td></tr>
<tr><td style="text-align:left"></td><td>(0.811)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)89</td><td>-0.121</td></tr>
<tr><td style="text-align:left"></td><td>(0.785)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)90</td><td>0.502</td></tr>
<tr><td style="text-align:left"></td><td>(0.717)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)91</td><td>1.015</td></tr>
<tr><td style="text-align:left"></td><td>(0.964)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)92</td><td>-2.318<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.124)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)93</td><td>1.836<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.924)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)94</td><td>1.202<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.590)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)95</td><td>2.446<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.125)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)96</td><td>3.988<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.732)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)97</td><td>1.451<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.649)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)98</td><td>2.917<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.186)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)99</td><td>5.585<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.470)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)100</td><td>-5.698<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.729)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)101</td><td>-2.575<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.705)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)102</td><td>-1.023</td></tr>
<tr><td style="text-align:left"></td><td>(0.816)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)103</td><td>-2.087</td></tr>
<tr><td style="text-align:left"></td><td>(1.271)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)104</td><td>0.966</td></tr>
<tr><td style="text-align:left"></td><td>(0.655)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)105</td><td>2.007<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.930)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)106</td><td>0.439</td></tr>
<tr><td style="text-align:left"></td><td>(0.946)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)107</td><td>-2.509<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.578)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)108</td><td>1.181</td></tr>
<tr><td style="text-align:left"></td><td>(1.625)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)109</td><td>2.274<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.921)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)110</td><td>1.805<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.664)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)111</td><td>6.064<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.691)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)112</td><td>0.380</td></tr>
<tr><td style="text-align:left"></td><td>(0.640)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)113</td><td>-3.796<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.591)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)114</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)115</td><td>0.126</td></tr>
<tr><td style="text-align:left"></td><td>(0.718)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)116</td><td>3.399<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.897)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)117</td><td>-5.346<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.011)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)118</td><td>7.219<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.448)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)119</td><td>-2.041<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.883)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)120</td><td>-0.063</td></tr>
<tr><td style="text-align:left"></td><td>(0.696)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)121</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)122</td><td>3.649<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.465)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)123</td><td>0.366</td></tr>
<tr><td style="text-align:left"></td><td>(0.967)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)124</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)125</td><td>-1.857<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.689)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)126</td><td>-0.759</td></tr>
<tr><td style="text-align:left"></td><td>(0.698)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)127</td><td>10.282<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.689)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)128</td><td>1.293<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.694)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)129</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)130</td><td>-1.666</td></tr>
<tr><td style="text-align:left"></td><td>(1.058)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)131</td><td>-0.557</td></tr>
<tr><td style="text-align:left"></td><td>(0.777)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)132</td><td>0.302</td></tr>
<tr><td style="text-align:left"></td><td>(0.681)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)133</td><td>-0.286</td></tr>
<tr><td style="text-align:left"></td><td>(0.925)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)134</td><td>-1.733<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.940)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)135</td><td>4.750<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.514)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)136</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)137</td><td>0.932</td></tr>
<tr><td style="text-align:left"></td><td>(0.849)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)138</td><td>4.473<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.264)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)139</td><td>-3.348<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.920)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)140</td><td>3.289<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.090)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)141</td><td>3.460<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.769)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)142</td><td>-3.357<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.885)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)143</td><td>1.165</td></tr>
<tr><td style="text-align:left"></td><td>(1.250)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)144</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)145</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)146</td><td>7.292<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.347)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)147</td><td>5.002<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.286)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)148</td><td>7.430<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.205)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)149</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)150</td><td>2.002<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.654)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)151</td><td>-0.295</td></tr>
<tr><td style="text-align:left"></td><td>(0.568)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)152</td><td>-3.267<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.950)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)153</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)154</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)155</td><td>2.733<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.976)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)156</td><td>-0.078</td></tr>
<tr><td style="text-align:left"></td><td>(0.733)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)157</td><td>1.088</td></tr>
<tr><td style="text-align:left"></td><td>(0.905)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)158</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)159</td><td>-4.530<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.910)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)162</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)163</td><td>-3.876<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.489)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)164</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)165</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)166</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)167</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)168</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)169</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)171</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)172</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)173</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)174</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">Constant</td><td>7.389<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(1.948)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">Observations</td><td>608</td></tr>
<tr><td style="text-align:left">R<sup>2</sup></td><td>0.771</td></tr>
<tr><td style="text-align:left">Adjusted R<sup>2</sup></td><td>0.727</td></tr>
<tr><td style="text-align:left">Residual Std. Error</td><td>0.793 (df = 510)</td></tr>
<tr><td style="text-align:left">F Statistic</td><td>17.702<sup>***</sup> (df = 97; 510)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"><em>Note:</em></td><td style="text-align:right"><sup>*</sup>p<0.1; <sup>**</sup>p<0.05; <sup>***</sup>p<0.01</td></tr>
</table>
value_model_demo_no_id = df[, lm(log(white_value_diff) ~ treatment + as.factor(demographic_race) + as.factor(ethnicity) + as.factor(gender) + age  + as.factor(education) + as.factor(residency_type) + as.factor(ownership) + as.factor(RE_job))]
NaNs produced
coeftest(value_model_demo_no_id)

t test of coefficients:

                                                                                                                                                  Estimate Std. Error t value  Pr(>|t|)    
(Intercept)                                                                                                                                      9.5113165  0.7169128 13.2670 < 2.2e-16 ***
treatment                                                                                                                                        1.8141516  0.1037557 17.4848 < 2.2e-16 ***
as.factor(demographic_race)East Asian                                                                                                            2.2057779  0.2950225  7.4766 2.801e-13 ***
as.factor(demographic_race)Multiracial                                                                                                          -0.1699290  0.6790638 -0.2502  0.802489    
as.factor(demographic_race)White                                                                                                                 0.4584475  0.1778102  2.5783  0.010172 *  
as.factor(ethnicity)Yes                                                                                                                         -0.5290739  0.3573531 -1.4805  0.139269    
as.factor(gender)Male                                                                                                                           -0.2311263  0.1092824 -2.1149  0.034857 *  
age                                                                                                                                             -0.0253457  0.0054622 -4.6402 4.300e-06 ***
as.factor(education)Bachelor's                                                                                                                   0.3197260  0.1442797  2.2160  0.027075 *  
as.factor(education)High school                                                                                                                  0.1265157  0.1584708  0.7984  0.424990    
as.factor(education)Master's / MBA                                                                                                               1.2490610  0.2274182  5.4924 5.922e-08 ***
as.factor(education)Ph.D                                                                                                                         0.6677997  0.6018884  1.1095  0.267667    
as.factor(residency_type)Suburban area: I live in a metropolitan area, but not in a city.                                                       -0.2010869  0.1461657 -1.3757  0.169427    
as.factor(residency_type)Urban area: I live within the principal city of a metropolitan area.                                                   -0.3509715  0.1620870 -2.1653  0.030766 *  
as.factor(ownership)I currently own property.                                                                                                   -0.5776259  0.4684113 -1.2332  0.218012    
as.factor(ownership)I currently own property.,I have owned property in the past that I do not currently own.                                    -0.0631392  0.5312194 -0.1189  0.905429    
as.factor(ownership)I currently rent from a property owner or management company                                                                -0.5069789  0.4613283 -1.0990  0.272240    
as.factor(ownership)I have owned property in the past that I do not currently own.                                                              -0.8602396  0.7157021 -1.2020  0.229868    
as.factor(ownership)I have owned property in the past that I do not currently own.,I currently do not pay rent or ownership costs               -1.9199428  0.6640067 -2.8915  0.003977 ** 
as.factor(ownership)I have owned property in the past that I do not currently own.,I currently rent from a property owner or management company -1.8513051  0.6507071 -2.8451  0.004596 ** 
as.factor(RE_job)I have never studied or worked in this field.                                                                                  -0.1291057  0.4251631 -0.3037  0.761494    
as.factor(RE_job)I have previously worked in this field.                                                                                        -1.0918036  0.4795875 -2.2765  0.023174 *  
as.factor(RE_job)Other (please explain):                                                                                                         0.1734575  0.5535957  0.3133  0.754143    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
stargazer::stargazer(value_model_demo_no_id, header = T, type='html',out='value_model_demo_no_id_table.html')
length of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changed

<table style="text-align:center"><tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"></td><td><em>Dependent variable:</em></td></tr>
<tr><td></td><td colspan="1" style="border-bottom: 1px solid black"></td></tr>
<tr><td style="text-align:left"></td><td>log(white_value_diff)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">treatment</td><td>1.814<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.104)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(demographic_race)East Asian</td><td>2.206<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.295)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(demographic_race)Multiracial</td><td>-0.170</td></tr>
<tr><td style="text-align:left"></td><td>(0.679)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(demographic_race)White</td><td>0.458<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.178)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(ethnicity)Yes</td><td>-0.529</td></tr>
<tr><td style="text-align:left"></td><td>(0.357)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(gender)Male</td><td>-0.231<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.109)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">age</td><td>-0.025<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.005)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(education)Bachelor's</td><td>0.320<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.144)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(education)High school</td><td>0.127</td></tr>
<tr><td style="text-align:left"></td><td>(0.158)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(education)Master's / MBA</td><td>1.249<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.227)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(education)Ph.D</td><td>0.668</td></tr>
<tr><td style="text-align:left"></td><td>(0.602)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(residency_type)Suburban area: I live in a metropolitan area, but not in a city.</td><td>-0.201</td></tr>
<tr><td style="text-align:left"></td><td>(0.146)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(residency_type)Urban area: I live within the principal city of a metropolitan area.</td><td>-0.351<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.162)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(ownership)I currently own property.</td><td>-0.578</td></tr>
<tr><td style="text-align:left"></td><td>(0.468)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(ownership)I currently own property.,I have owned property in the past that I do not currently own.</td><td>-0.063</td></tr>
<tr><td style="text-align:left"></td><td>(0.531)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(ownership)I currently rent from a property owner or management company</td><td>-0.507</td></tr>
<tr><td style="text-align:left"></td><td>(0.461)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(ownership)I have owned property in the past that I do not currently own.</td><td>-0.860</td></tr>
<tr><td style="text-align:left"></td><td>(0.716)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(ownership)I have owned property in the past that I do not currently own.,I currently do not pay rent or ownership costs</td><td>-1.920<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.664)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(ownership)I have owned property in the past that I do not currently own.,I currently rent from a property owner or management company</td><td>-1.851<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.651)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(RE_job)I have never studied or worked in this field.</td><td>-0.129</td></tr>
<tr><td style="text-align:left"></td><td>(0.425)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(RE_job)I have previously worked in this field.</td><td>-1.092<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.480)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(RE_job)Other (please explain):</td><td>0.173</td></tr>
<tr><td style="text-align:left"></td><td>(0.554)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">Constant</td><td>9.511<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.717)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">Observations</td><td>608</td></tr>
<tr><td style="text-align:left">R<sup>2</sup></td><td>0.458</td></tr>
<tr><td style="text-align:left">Adjusted R<sup>2</sup></td><td>0.437</td></tr>
<tr><td style="text-align:left">Residual Std. Error</td><td>1.140 (df = 585)</td></tr>
<tr><td style="text-align:left">F Statistic</td><td>22.447<sup>***</sup> (df = 22; 585)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"><em>Note:</em></td><td style="text-align:right"><sup>*</sup>p<0.1; <sup>**</sup>p<0.05; <sup>***</sup>p<0.01</td></tr>
</table>
---
title: "R Notebook"
output:
  html_document:
    df_print: paged
---

```{r load packages, message = FALSE}
library(data.table)

library(sandwich)
library(lmtest)

library(AER) 
library(dplyr)


library(ggplot2) 
library(patchwork)
```

```{r load draft data}
#Read in the data
d <- fread('joined_results_2nd_run.tsv')


head(d)
names(d)
```



```{r}
#Filter to where user input property == potential response Property
d_filtered = d
d_filtered
```



```{r}
#For every row, create a column that is the value difference of white to non white
#i.e. If race==white of response, abs_value_diff, else use -abs_value_diff

#Using data.table fifelse
d_filtered[abs_value_diff==0,abs_value_diff := 0.5]
d_filtered[ , white_value_diff := fifelse(nb_race=="white", abs_value_diff, -abs_value_diff)]

d_filtered[ ,log_abs_diff := log(abs_value_diff)]
d_filtered[, log_white_diff := fifelse(nb_race=="white", log_abs_diff, -log_abs_diff)]


#Create a column with 0/1 if neighborhood is white
d_filtered[ , nb_is_white := fifelse(nb_race=="white", 1, 0)]

```

```{r}
d_filtered
```

```{r}
#Create a variable for whether street view contained a person

d_filtered[ , street_view_person := rep(0, .N)]

#Change Property 1 & 3s to 1
d_filtered[ (property_chosen == "Property 1") & (question == "3s") , street_view_person := 1] 

#Change both Properties of 10s to 1
d_filtered[  (question == "10s") , street_view_person := 1] 

#Change property 2 of 11s to 1
d_filtered[  (property_chosen == "Property 2") &(question == "11s") , street_view_person := 1] 

#Change property 1 of 13s to 1
d_filtered[  (property_chosen == "Property 1") &(question == "13s") , street_view_person := 1] 

#Change property 2 of 14s to 1
d_filtered[  (property_chosen == "Property 2") &(question == "14s") , street_view_person := 1] 

#Change property 1&2 of 18s to 1
d_filtered[  (question == "18s") , street_view_person := 1] 

#Change property 1 of 20s to 1
d_filtered[  (property_chosen == "Property 1") &(question == "20s") , street_view_person := 1] 

#Change property 1 of 25s to 1
d_filtered[  (property_chosen == "Property 1") &(question == "25s") , street_view_person := 1] 


d_filtered
```


```{r}
ggplot(data =d_filtered[ treatment==0, ], aes(d_filtered[ treatment==0, white_value_diff])) + geom_histogram()
```



```{r}
ggplot(data =d_filtered[ treatment==1, ], aes(d_filtered[ treatment==1, white_value_diff])) + geom_histogram()
```

```{r}
fwrite(d_filtered, "filtered_data_2.csv")
```

```{r}
df = data.table::fread("filtered_data_2.csv")
df
names(df)
```

```{r}
typeof(df)
#Some attempts at writing a model


#For each question, we want the difference in counts of properties selected by is_white
new_df = df[ , .(count=.N), keyby=.(question, nb_is_white, treatment) ]
new_df


#We want to predict the difference of the counts of the is_white or not properties for each question
new_df[ , is_white_count:= diff(count, lag=1), keyby = .(question, treatment)]
new_df

model = new_df[ , lm(is_white_count ~ treatment)]

coeftest(model,  vcov = vcovCL(model, cluster = new_df[ , question]))
```

## Proportion Models

```{r}
prop_white_model = df[, lm(nb_is_white ~ treatment + as.factor(id))]
coeftest(prop_white_model,  vcov = vcovCL(prop_white_model, cluster = df[ , as.factor(id)]))
stargazer::stargazer(prop_white_model, header = T, type='html', se = list(NULL,sqrt(diag(vcovCL(prop_white_model, cluster = df[ , as.factor(id)])))),out='prop_white_model_table.html')
```

```{r}
prop_white_model_no_id = df[, lm(nb_is_white ~ treatment)]
coeftest(prop_white_model_no_id,  vcov = vcovCL(prop_white_model_no_id))
stargazer::stargazer(prop_white_model_no_id, header = T, type='html', se = list(NULL,sqrt(diag(vcovCL(prop_white_model_no_id, cluster = df[ , as.factor(id)])))),out='prop_white_model_no_id_table.html')
```

## Value Difference models

```{r}
value_model = df[, lm(white_value_diff ~ treatment + as.factor(id))]
coeftest(value_model,  vcov = vcovCL(value_model, cluster = df[ , as.factor(id)]))
stargazer::stargazer(value_model, header = T, type='html', se = list(NULL,sqrt(diag(vcovCL(value_model, cluster = df[ , as.factor(id)])))),out='value_model_table.html')
```

```{r}
value_model_log = df[, lm(log(white_value_diff) ~ treatment + as.factor(id))]

coeftest(value_model_log,  vcov = vcovCL(value_model_log, cluster = df[ , as.factor(id)]))
coeftest(value_model_log, se = sqrt(diag(vcovCL(value_model_log, cluster = df[ , as.factor(id)]))))

stargazer::stargazer(value_model_log, header = T, type='html', se = list(NULL,sqrt(diag(vcovCL(value_model_log, cluster = df[ , as.factor(id)])))),out='value_model_log_table.html')

```

```{r}
value_model_no_cluster = df[, lm(log(white_value_diff) ~ treatment + as.factor(id))]

coeftest(value_model_no_cluster)
summary(value_model_no_cluster)
stargazer::stargazer(value_model_no_cluster, header = T, type='html',out='value_model_no_cluster_table.html')

plot(value_model_no_cluster)

```

```{r}
value_model_no_id = df[, lm(log(white_value_diff) ~ treatment)]

coeftest(value_model_no_id)

stargazer::stargazer(value_model_no_id, header = T, type='html',out='value_model_no_id_table.html')
```

```{r}
value_model_cluster_no_id = df[, lm(log(white_value_diff) ~ treatment)]

coeftest(value_model_cluster_no_id, se = sqrt(diag(vcovCL(value_model_log, cluster = df[ , as.factor(id)]))))

stargazer::stargazer(value_model_cluster_no_id, header = T, type='html', se = list(NULL,sqrt(diag(vcovCL(value_model_log, cluster = df[ , as.factor(id)])))),out='value_model_cluster_no_id_table.html')
```

```{r}
value_model_demo = df[, lm(log(white_value_diff) ~ treatment + as.factor(demographic_race) + as.factor(ethnicity) + as.factor(gender) + age  + as.factor(education) + as.factor(residency_type) + as.factor(ownership) + as.factor(RE_job) + as.factor(id))]

coeftest(value_model_demo)
stargazer::stargazer(value_model_demo, header = T, type='html',out='value_model_demo_table.html')

```

```{r}
value_model_demo_no_id = df[, lm(log(white_value_diff) ~ treatment + as.factor(demographic_race) + as.factor(ethnicity) + as.factor(gender) + age  + as.factor(education) + as.factor(residency_type) + as.factor(ownership) + as.factor(RE_job))]

coeftest(value_model_demo_no_id)
stargazer::stargazer(value_model_demo_no_id, header = T, type='html',out='value_model_demo_no_id_table.html')
```

```{r}
df[id==167,]
```













